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Related papers: On the Relation between Context-Free Grammars and …

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While context-free grammars are characterized by a simple proof-theoretic grammatical formalism namely categorial grammar and its logic the Lambek calculus, no such characterizations were known for tree-adjoining grammars, and even for any…

Computation and Language · Computer Science 2021-01-12 Hiroyoshi Komatsu

It is natural for probabilistic programs to use conditionals to express alternative substructures in models, and loops (recursion) to express repeated substructures in models. Thus, probabilistic programs with conditionals and recursion…

Programming Languages · Computer Science 2020-10-26 David Chiang , Chung-chieh Shan

We consider the problem of learning an unknown context-free grammar when the only knowledge available and of interest to the learner is about its structural descriptions with depth at most $\ell.$ The goal is to learn a cover context-free…

Formal Languages and Automata Theory · Computer Science 2014-04-10 Mircea Marin , Gabriel Istrate

We discuss an extension of the standard logical rules (functional application and abstraction) in Categorial Grammar (CG), in order to deal with some specific cases of polysemy. We borrow from Generative Lexicon theory which proposes the…

cmp-lg · Computer Science 2016-08-31 Anne-Marie Mineur , Paul Buitelaar

We explore the ability of word embeddings to capture both semantic and morphological similarity, as affected by the different types of linguistic properties (surface form, lemma, morphological tag) used to compose the representation of each…

Computation and Language · Computer Science 2017-04-07 Oded Avraham , Yoav Goldberg

We describe a Context Free Grammar (CFG) for Bangla language and hence we propose a Bangla parser based on the grammar. Our approach is very much general to apply in Bangla Sentences and the method is well accepted for parsing a language of…

Computation and Language · Computer Science 2012-01-11 K. M. Azharul Hasan , Al-Mahmud , Amit Mondal , Amit Saha

Lexical semantics theories differ in advocating that the meaning of words is represented as an inference graph, a feature mapping or a vector space, thus raising the question: is it the case that one of these approaches is superior to the…

Computation and Language · Computer Science 2020-11-17 António Branco , João Rodrigues , Małgorzata Salawa , Ruben Branco , Chakaveh Saedi

The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure. These MRs exhibit structural differences that reflect different theoretical…

Computation and Language · Computer Science 2020-05-01 Lucia Donatelli , Jonas Groschwitz , Alexander Koller , Matthias Lindemann , Pia Weißenhorn

We establish a correspondence between (fragments of) $\mathcal{TEL}^\bigcirc$, a temporal extension of the $\mathcal{EL}$ description logic with the LTL operator $\bigcirc^k$, and some specific kinds of formal grammars, in particular,…

Logic in Computer Science · Computer Science 2025-08-04 Camille Bourgaux , Anton Gnatenko , Michaël Thomazo

Grammatical Error Correction (GEC) should not focus only on high accuracy of corrections but also on interpretability for language learning. However, existing neural-based GEC models mainly aim at improving accuracy, and their…

Computation and Language · Computer Science 2022-03-15 Masahiro Kaneko , Sho Takase , Ayana Niwa , Naoaki Okazaki

The dissertation addresses the design of parsing grammars for automatic surface-syntactic analysis of unconstrained English text. It consists of a summary and three articles. {\it Morphological disambiguation} documents a grammar for…

cmp-lg · Computer Science 2008-02-03 Atro Voutilainen

This paper builds on previous work using Combinatory Categorial Grammar (CCG) to derive a transparent syntax-semantics interface for Abstract Meaning Representation (AMR) parsing. We define new semantics for the CCG combinators that is…

Computation and Language · Computer Science 2019-04-12 Austin Blodgett , Nathan Schneider

Plausibility Estimation (PE) plays a crucial role for enabling language models to objectively comprehend the real world. While large language models (LLMs) demonstrate remarkable capabilities in PE tasks but sometimes produce trivial…

Computation and Language · Computer Science 2024-12-31 Chong Liu , Zaiwen Feng , Lin Liu , Zhenyun Deng , Jiuyong Li , Ruifang Zhai , Debo Cheng , Li Qin

In a recent paper (M. Barash, A. Okhotin, "Defining contexts in context-free grammars", LATA 2012), the authors introduced an extension of the context-free grammars equipped with an operator for referring to the left context of the…

Formal Languages and Automata Theory · Computer Science 2014-05-23 Mikhail Barash , Alexander Okhotin

When people develop something intended as a large broad-coverage grammar, they usually have a more specific goal in mind. Sometimes this goal is covering a corpus; sometimes the developers have theoretical ideas they wish to investigate;…

Computation and Language · Computer Science 2007-05-23 Beth Ann Hockey , Manny Rayner , Frankie James

Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. In this context, the conventional factor graphs are referred…

Artificial Intelligence · Computer Science 2012-07-19 Yongyi Mao , Frank Kschischang , Brendan J. Frey

Evaluating the grammatical competence of second language (L2) learners is essential both for providing targeted feedback and for assessing proficiency. To achieve this, we propose a novel framework leveraging the English Grammar Profile…

Computation and Language · Computer Science 2026-03-19 Stefano Bannò , Penny Karanasou , Kate Knill , Mark Gales

Parikh's theorem states that every Context Free Language (CFL) has the same Parikh image as that of a regular language. A finite state automaton accepting such a regular language is called a Parikh-equivalent automaton. In the worst case,…

Formal Languages and Automata Theory · Computer Science 2011-09-27 M. Praveen

In derivational morphology, what mechanisms govern the variation in form-meaning relations between words? The answers to this type of questions are typically based on intuition and on observations drawn from limited data, even when a wide…

Computation and Language · Computer Science 2026-04-15 Hathout Nabil , Basilio Calderone , Fiammetta Namer , Franck Sajous

How much data is required to learn the structure of a language via next-token prediction? We study this question for synthetic datasets generated via a Probabilistic Context-Free Grammar (PCFG) -- a tree-like generative model that captures…

Computation and Language · Computer Science 2024-10-30 Francesco Cagnetta , Matthieu Wyart